Oncogenic pathway landscape of ovarian cancer and correlation with clinical prognosis

  • 0Department of Obstetrics and Gynecology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea.

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Summary

This summary is machine-generated.

Next-generation sequencing (NGS) identified distinct oncogenic pathways across ovarian cancer types. Targeting these pathways may improve patient outcomes, with specific pathways correlating with progression-free and overall survival.

Area Of Science

  • Oncology
  • Genomics
  • Molecular Biology

Background

  • Ovarian cancer comprises diverse histological subtypes with varying prognoses.
  • Identifying key oncogenic pathways is crucial for understanding tumor development and progression.
  • Next-generation sequencing (NGS) offers a comprehensive approach to profiling cancer genomes.

Purpose Of The Study

  • To determine the predominant oncogenic pathways in different ovarian cancer histological types using NGS.
  • To investigate the correlation between identified oncogenic pathways and clinical prognosis (progression-free survival and overall survival).

Main Methods

  • Retrospective analysis of 420 ovarian cancer patients who underwent NGS testing.
  • Categorization of identified mutations into seven major oncogenic pathways.
  • Correlation analysis between pathway involvement and patient survival outcomes.

Main Results

  • TP53 mutations were primary in high-grade serous carcinoma (HGSC) and carcinosarcoma.
  • MAP kinase signaling predominated in low-grade serous carcinoma and mucinous carcinoma.
  • PI3K-AKT-mTOR and SWI/SNF pathways were common in endometrioid and clear cell carcinomas.
  • DNA damage response pathway involvement correlated with better progression-free survival (PFS) in HGSC.
  • RTK signaling pathway involvement correlated with better overall survival (OS) in HGSC.

Conclusions

  • NGS-based genetic profiling can guide targeted treatment strategies for ovarian cancer.
  • Specific oncogenic pathways are associated with distinct histological subtypes and clinical outcomes.
  • Further research is warranted to elucidate the mechanisms behind the association between RTK signaling and improved OS.

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